Run Huang

1.1k citations
77 papers · 849 · h-index 18

Impact in

Papers in

Run Huang

66 papers receiving 828 citations

Peers

Run Huang
Comparison fields: 5 of 78
  • Mechanical Engineering 399
  • Earth-Surface Processes 52
  • Atmospheric Science 135
  • Biomedical Engineering 311
  • Paleontology 48
Replace Kaidi Zhang with:
Kaidi Zhang China
R. J. Davis United Kingdom
Yanyan Lei China
Min Lin China
Barbara Kwiecińska Poland
Junqing Chen China
Li Jun Zhao China
Mária Tóth Hungary
Boglárka Maróti Hungary
Run Huang relative to Kaidi Zhang China Kaidi Zhang's profile →
Citations per field
00.5×3.9×
Kaidi Zhang · 1×
Citations per year

Countries citing papers authored by Run Huang

Since Specialization
Citations

This map shows the geographic impact of Run Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Run Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Huang more than expected).

Fields of papers citing papers by Run Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Run Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Run Huang. The network helps show where Run Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Run Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Run Huang Line = papers co-authored together Run Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200871
2 201357
3 200552
4 201635
5 201635
6 201333
7 201229
8 202228
9 202227
10 201627
11 201627
12 202024
13 202421
14 202321
15 201621
16 201319
17 201319
18 201718
19 202217
20 202215

About Run Huang

Run Huang is a scholar working on Mechanical Engineering, Biomedical Engineering, Water Science and Technology, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 77 papers that have together received 849 indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (22 papers), Iron and Steelmaking Processes (16 papers), Extraction and Separation Processes (14 papers), Metallurgical Processes and Thermodynamics (12 papers), Adaptive optics and wavefront sensing (7 papers), Minerals Flotation and Separation Techniques (7 papers), Optical measurement and interference techniques (6 papers) and Recycling and Waste Management Techniques (5 papers). The work is most often cited by research in Mechanical Engineering (399 citations), Earth-Surface Processes (52 citations), Atmospheric Science (135 citations), Biomedical Engineering (311 citations) and Paleontology (48 citations). Run Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinzhu Zhang, Chaogui Zheng, Cheng Zhu, Chunmei Ma, Xuewei Lv, James H. Burge, Pengsheng Liu, Peng Su, Linyan Huang and Zhiping Zhao. Their work appears in journals such as Materials Research Express, Journal of Sustainable Metallurgy, Metallurgical and Materials Transactions B, Process Safety and Environmental Protection and Canadian Metallurgical Quarterly.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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